Category Archives: Conferences

Highlights from the European Antibody Congress 2021

Last month, I was fortunate enough to be able to attend (in person!) and present at the Festival of Biologics European Antibody Congress (9-11 November, 2021) in Basel, Switzerland. The Festival of Biologics is an annual conference, which brings together researchers from industry and academia. It was an excellent opportunity to learn about exciting research and meet people working in the antibody development field.

Here are some of my highlights from the European Antibody Congress, with a focus on antibody design and engineering:

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Five Nuggets of Wisdom for Chairing at a Conference

I recently spoke at the Festival of Biologics 2021 conference in Basel (in-person, just in time!), and was lucky enough to be offered the chance to chair a session of talks. As this was the first time I’d ever been asked to do this, I asked Charlotte for some hints to make things go more smoothly. I found her advice very useful, so I thought I’d share it here for other first-time “chairers”!

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ISMB 2021: epitope prediction tools

I recently had the opportunity to present my work on antibody virtual screening at the 2021 ISMB/ECCB virtual conference. In this blogpost, I want to summarise two research projects presented in the 3DSIG immunoinformatics session (in which I also presented my work) highlighting two different avenues of approaching epitope prediction (and immunoinformatics questions in general): Structure-based (Epitope3D) and sequence-based (SeRenDIP-CE).

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AIRR Community Meeting V – December 2020

We attended the virtual Adaptive Immune Receptor Repertoire (AIRR) Community Meeting in early December. The three day conference is usually held every 18 months and covered a range of research talks, software demonstrations and poster presentations on the latest TCR and BCR (antibody) research. While we missed certain elements that were present at the last AIRR community meeting (namely focaccia), it was a really interesting meeting with technology all running very smoothly.

Given our current research on SARS-CoV-2 antibodies, we particularly enjoyed the work presented by Armita Nourmohammad from the University of Washington on “Dynamics of BCR in Covid”, based on the preprint on medRxiv. The research identified 34 significantly expanded rare clonal lineages shared among patients with SARS-CoV-2, which are potential candidates for covid response. In particular, the analysis includes an assessment of whether an antibody sequence identified in different individuals (known as a shared or public sequence) is likely to be found due to inherent biases in antibody recombination. Shared antibody sequences which are calculated as  unlikely to be shared are potentially a response to a shared exposure such as SARS-CoV2, rather than randomly found in the antibody repertoire. In this way, Nourmohammed and colleagues identified ‘rare’ antibodies which were identified in more individuals than would statistically be expected, and therefore might be worthy of further experimental analysis.

A theme common across a short talk and poster by Hadas Neuman (Bar-Ilan) and a poster by Kenneth Hoehn (Yale), was class-switching dynamics revealed by phylogenetic inference (from IgM to IgA in the human gut in the former, and IgE and IgG4 in a paediatric patient with peanut allergy in the latter). Kenneth Hoehn’s poster also looked at B-cell differentiation during HIV infection – this can all be read about in this preprint. The methods developed in the paper for discrete trait analysis of differentiation, isotype switching and B-cell migration are implemented in the new R package dowser (https://bitbucket.org/kleinstein/dowser) which is part of the Immcantation suite (http://immcantation.org).

It was also really nice to see evidence of the burgeoning use of single-cell sequencing for immune repertoire profiling, with posters by Igor Snapkov (UiO), Indu Khatri (Leiden University Medical Centre), Nick Borcherding (Washington University in St. Louis) all using single-cell technologies, and a talk by Ivelin Georgiev on LIBRA-seq. 

If you missed the conference and have had your interest piqued, some of the conference talks are available at the AIRRC youtube channel.

We look forward to AIRRC6, Dec 7 – 11, 2021!

Sarah and Eve

Prediction of Parkinson subtypes at COXIC 2020

Last week I attended the COXIC seminar (joint seminar Oxford – Imperial focused on networks and complex systems) organised by Florian Klimm from Imperial College London (and former OPIG member!). We had several interesting at the seminar. However, one of them caught my eye more than the rest. It was the talk of Dr Sanjukta Krishnagopal (UCL) titled Predicting Parkinson’s Sub-types through Trajectory Clustering in Bipartite Networks​, of which I will give a quick insight. Hope you like it (at least) as much as I did!

This blogpost is based on these two articles:

  1. Sanjukta Krishnagopal, Rainer Von Coelln, Lisa Shulman, Michelle Girvan. “Identifying and predicting Parkinson’s disease subtypes through trajectory clustering via bipartite networks” PloS one (2020)​
  2. Sanjukta Krishnagopal. “Multi-later Trajectory Clustering Network Algorithm for Disease Subtyping” Biomedical Physics & Engineering Express (2020)​
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BioDataScience101: a fantastic initiative to learn bioinformatics and data science

Last Wednesday, I was fortunate enough to be invited as a guest lecturer to the 3rd BioDataScience101 workshop, an initiative spearheaded by Paolo Marcatili, Professor of Bioinformatics at the Technical University of Denmark (DTU). This session, on amino acid sequence analysis applied to both proteomics and antibody drug discovery, was designed and organised by OPIG’s very own Tobias Olsen.

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NeurIPS 2020: Chemistry / Biology papers

Another blog post, another look at accepted papers for a major ML conference. NeurIPS joins the other major machine learning conferences (and others) in moving virtual this year, running from 6th – 12th December 2020. In a continuation of past posts (ICML 2020, NeurIPS 2019), I will highlight several of potential interest to the chem-/bio-informatics communities

The list of accepted papers can be found here, with 1,903 papers accepted out of 9,467 submissions (20% acceptance rate).

In addition to the main conference, there are several workshops highly related to the type of research undertaken in OPIG: Machine Learning in Structural Biology and Machine Learning for Molecules.

The usual caveat: given the large number of papers, these were selected either by “accident” (i.e. I stumbled across them in one way or another) or through a basic search (e.g. Ctrl+f “molecule”). If you find any I have missed, please reach out and I will update accordingly.

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Learning from Biased Datasets

Both the beauty and the downfall of learning-based methods is that the data used for training will largely determine the quality of any model or system.

While there have been numerous algorithmic advances in recent years, the most successful applications of machine learning have been in areas where either (i) you can generate your own data in a fully understood environment (e.g. AlphaGo/AlphaZero), or (ii) data is so abundant that you’re essentially training on “everything” (e.g. GPT2/3, CNNs trained on ImageNet).

This covers only a narrow range of applications, with most data not falling into one of these two categories. Unfortunately, when this is true (and even sometimes when you are in one of those rare cases) your data is almost certainly biased – you just may or may not know it.

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Prerecording Conference Talks and Posters using OBS Studio

Seemingly every conference due to take place this year has either been cancelled or will be run virtually due to the COVID-19 pandemic. Many organisers have decided that running entirely live virtual programmes causes more trouble than it’s worth (e.g. due to unforseeable IT and internet issues disrupting the schedule), and so are asking their presenters to prerecord their talks, which are then broadcast “live” on the day.

I recently “presented” two virtual prerecorded talks at the ISMB conference using Open Broadcast Software Studio (OBS Studio), a free open-source software package most commonly used by live-streamers on Twitch and Youtube. It is super simple to use and achieves a professional output, with video overlaying a presentation slide deck/poster PDF. This blog is a “how-to” on getting started with OBS for conference talks/poster presentations.

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Climate Change @ ISMB

Another special session I was listening to at ISMB 2020 was the Green stream. Several talks dealt with climate change and its relation to bioinformatics and computational biology. Two of them I found particularly interesting, one calculating the carbon footprint of ISMB itself and the other calculating the footprint of specific bioinformatics tools.

I believe most people have realised how important the issue of human-made climate change is and I assume that everyone has heard about some aspects of our life that are causing particularly many emissions compared to certain alternatives. For example, train rides vs. short-haul flights, eating the food’s food (veggies) vs. mass production of meat or renewable energies vs. coal plants, just to name some that are rather easy to change. Admittedly, I have also underestimated the urgency of the issue and I found this plot quite convincing:

(Screenshot from Alex Bateman’s talk)

What can we as computational researchers do about it?

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